Source: Proceedings. Conference titles: Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
ABNT
BLANGER, Leonardo e HIRATA, Nina Sumiko Tomita e JIANG, Xiaoyi. Reducing the need for bounding box annotations in object detection using image classification data. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00035. Acesso em: 02 out. 2024.APA
Blanger, L., Hirata, N. S. T., & Jiang, X. (2021). Reducing the need for bounding box annotations in object detection using image classification data. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI54419.2021.00035NLM
Blanger L, Hirata NST, Jiang X. Reducing the need for bounding box annotations in object detection using image classification data [Internet]. Proceedings. 2021 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035Vancouver
Blanger L, Hirata NST, Jiang X. Reducing the need for bounding box annotations in object detection using image classification data [Internet]. Proceedings. 2021 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035